Network Modeling and Analysis of Cassava Mosaic Disease Transmission in Thailand
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Abstract
This study aims to develop and analyze a mathematical model based on a two-node network structure to investigate the spread of cassava mosaic disease in Thailand. The plant population is divided into four compartments according to infection status, and the connections between two regions are considered through the movement of insect vectors and stem cuttings. The mathematical model is analyzed symbolically using the next generation matrix to calculate the basic reproduction number (), and the stability of equilibrium points is examined via the Gershgorin circle theorem. The results show that the infection and recovery rates have the greatest influence on
. The model explains the disease dynamics under both disease-free and endemic conditions, highlighting the risk of transmission between regions through the movement of planting materials. Policy recommendations consistent with the finding include controlling the migration of stem cutting, adopting resistant cultivars, and implementing appropriate field management to enhance the sustainable control of cassava mosaic disease.
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